Ingrid Mayrhofer-Hufnagl Workshop: "Datasets and Design: Exploring Bias and Creativity"
Ingrid Mayrhofer-Hufnagl, head of a multi-disciplinary practice; serves as an external expert for the Joint Research Centre of the European Commission; mentors Ph.D. students at the Technical University of Munich; editor of Architecture, Futurability, and the Untimely: On the Unpredictability of the Past.
Learning Objectives:
- Understand the Role of Datasets in AI: Participants will learn how training data shapes the capabilities, biases, and limitations of machine learning systems.
- Engage in Creative Dataset Hacking: Participants will engage in hands-on experiments, exploring how to manipulate inputs and outputs in sketch-to-image AI applications to creatively subvert system constraints.
- Reflect on Human-Machine Creativity: Participants will explore the dynamic interplay between human creativity and machinic intelligence, reconsidering how AI can be a partner in design innovation
- Critically Engage with AI to Envision Shared Futures: Participants will explore how AI can illuminate or hinder new perspectives on coexistence, bridging human, non-human, and machinic intelligences to inspire the design of more-than-human-centered environments. By positioning dataset reflection as more than a technical skill but rather a creative practice, the workshop highlights its potential as a tool for envisioning new possibilities in the built environment.
In-person event; max. 20 participants.